CASE STUDY:
Download this TechTarget case study to learn how TIBCO achieved true marketing transformation through the use of TechTarget marketing technology.
INFOGRAPHIC:
Business truly moves more rapidly nowadays. Right-time is, more than ever, real-time. To keep pace, more organizations are investing in real-time data analytics so data is available to be analyzed, interpreted and visualized as it is created or changes in their source systems. Here are six benefits of real-time data for analytics applications.
EGUIDE:
Organisations increasingly value data that is as current as possible. And there are other sectors where real-time data analytics and data visualisation are proving valuable. In this e-guide, we discuss how continuous real-time analytics, operating at sub-second speed, are finding real-world applicability across several industry sectors.
PRESENTATION TRANSCRIPT:
In this BeyeNETWORK transcript of a webcast, industry expert and author Cindi Howson details the current state of business intelligence (BI) adoption, the business impact and offers BI best practices from both organizational and technical perspectives.
WHITE PAPER:
Read this comprehensive white paper now to learn more about real-time business intelligence (BI) and the benefits of implementing agile BI into your current BI strategy.
WHITE PAPER:
This paper explores the opportunities and challenges presented by the introduction of services on 4G networks, and examines how a strategic BI implementation can help to transform the services a company provides while managing costs of providing them. It also considers the variety of practical applications of a BI system.
WHITE PAPER:
Big data is complex term to define and it often presents obstacles for businesses. Consult this resource to learn more about how you should look at big data from a business perspective. Find out how big data has changed the way that the business intelligence (BI) landscape operates.
WHITE PAPER:
This paper examines the increased business challenges in structured finance, the impact on the underlying enabling technologies, and describes how the use of Vertica’s column store, massively parallel processing (MPP) approach to database management and analytic processing can address some of these challenges.
